How To Set Up A Successful Data Analytics Team

How set up a successful data analytics team.

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Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio

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About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.

*I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you.

[malcorub]

As a "manager", I would start off by having a top notch data engineer who knows how to work with complex data and do complex joins, they should also know about data warehousing best practice techniques. My second employee would be a data analyst with superb customer service skills that understands what the customer wants.... she/he should have superb telling techniques, more analytical than technical.

[oluwatobitalabi]

Simple, straight forward and provides a good foundation for a data analytics team

[BJTangerine]

Great content as always, keep It comin

[CareerHubSpot]

I'm a freelance data Analyst, competent with the use of Excel, SQL and Power Bi, ....i will be willing to join a team of data analysts

[adammorra]

Great video! One of the challenges my company faces is we are working with HR data so we cannot expose it to the DW due to GDPR, sensitive information, etc. Do you have any recommendations? We can encrypt it but PowerBI does not read from an encrypted source.

[bawxc]

Great video. Quick question for anyone: if I have my data warehouse set up, do I connect my reporting tool directly to query the DWH? The reason I'm asking is because of cost. If the reporting dashboards are constantly pinging the data warehouse, doesn't this greatly increase the compute costs? Storage seems relatively cheap for our purposes, but if the data warehouse needs to stay on all the time because dashboards are querying data from it, then that could be too expensive. But I don't know if I'm thinking of this the wrong way.

[mukulkrsinghchauhan]

How to set up the Data Analytics vertical in a product based company??

[dylankuo]

Thanks Seattle Data Guy for creating so many useful videos.

Will you be able to share some idea for the career growth of Data engineer vs Analytics Engineer? (Career path, impact, salary, job levels, etc)
Since I’ve found that there’re more and more Analytics Engineer position coming out. Just want to see if it’s a good option for me (current Data engineer) to change to Analytics Engineer position in the long run? I want to train myself more advanced data engineering skills (like Kafka, spark, flink, etc) so that I can add more value to myself and that would make me hard to be replaced and get paid more than just using modern data tool like dbt (Analytics Engineer) Am I right?



Thanks a lot!

[konstantinradu]

Hi Ben, I'll have my bachelor in accounting and economics. Can I ask you how accounting could help me to be a data analyst?Because it seems as if everyone involved with data analysis came from CS, DS, IT background. Moreover I wanted to add that my bachelor includes 5 courses on programming (excel, excel vba, Python, R and powerBi, they give me 3 credits each) and another exam called business intelligence which gives me 6 credits.
I found interesting the part about data engineering even though in my case I'd be better being a data analyst role (descriptive, prescriptive and diagnostic analysis)
Anyway I guess that accounting may count as domain knowledge hence great for financial data analyst or sales data analyst or supply data analyst with specific industry domain (even auditing or accounting per se).

[hamsansari]

Hey Ben
I had a really good question for you on the yesterday video but its not visible to me :D
I think it has been deleted

[adithyavardhanreddy]

Yo.. where can we see the deleted video from yesterday..😂